Data Scientist

GenAI Solution Development

Contribute to developing GenAI infrastructure components, including LLM deployment pipelines, vector databases, API integrations, and agent orchestration frameworks for assigned projects

Apply prompt optimization and model selection techniques to support the quality, cost-efficiency, and latency of generative AI solutions

Support the security, reliability, and scalability of deployed AI systems, including monitoring for model drift and system issues on assigned projects

Develop LLM-powered applications, such as chatbots, document processing systems, content generation tools, and intelligent assistants relevant to financial services

Build and maintain RAG pipelines, knowledge bases, and data ingestion workflows to ground generative AI outputs in accurate, domain-specific information

Deploy and monitor GenAI solutions using LLMOps best practices, including evaluation frameworks, prompt versioning, and guardrails

Use cloud AI platforms and managed LLM services (e.g., Azure OpenAI, AWS Bedrock, GCP Vertex AI) to support the deployment of generative AI solutions

Contribute to the development of AI agents and multi-agent systems for task automation, decision support, and workflow orchestration

Project Participation & Collaboration

Participate in AI/ML projects from data exploration to deployment, owning technical tasks and timelines in coordination with the Head of the AI Center of Excellence

Conduct experimentation and apply relevant GenAI research (e.g., new LLM architectures, reasoning models, multi-modal models, agentic frameworks) to assigned business use cases

Prepare documentation and summaries of GenAI capabilities and agent architectures for review by AI Transformation Office leadership and cross-functional teams

Follow responsible AI principles and support the implementation of guardrails, content moderation, and bias mitigation strategies for assigned GenAI deployments

Collaborate with business, product, and engineering teams to understand GenAI opportunities and contribute to real-world impact

Participate in knowledge sharing with peers through code reviews, technical discussions, and best-practice sharing

Stay current with GenAI research and industry trends relevant to assigned projects, and apply this knowledge to improve personal contribution and team outcomes

Key Relationships

Reports to the Head of the AI Center of Excellence and works closely with other members of the AI Transformation Office team

Collaborates with teams across PASHA Financial Holding to align on GenAI initiatives and follow up on project updates

May interact with external consultants for research, benchmarking, and process support

3-5 years of relevant work experience, including exposure to data science, machine learning, or AI-related projects

Undergraduate degree or higher in a relevant field

Proficiency in Azerbaijani and English

Working knowledge of Python and related libraries (e.g., LangChain, LlamaIndex, Hugging Face, OpenAI SDK)

Familiarity with API development (e.g., FastAPI), vector databases (e.g., ElasticSearch, Milvus, Qdrant), cloud AI services (e.g., AWS, GCS), version control (e.g., Git/GitHub), notebook environments (e.g., Jupyter), and shell scripting

Understanding of data preprocessing and working with structured and unstructured datasets, including text/document processing and embedding generation

Foundational knowledge of large language models (LLMs), prompt engineering, fine-tuning, RAG architectures, multi-modal models, and evaluation frameworks

Preferred:

Exposure to LLM-based agents, multi-agent systems, tool use and function calling, or agentic frameworks (e.g., LangChain, LangGraph, PydanticAI)

Genuine interest in AI research and open-source innovation, with a habit of staying current on developments in the field

Müraciət etmək üçün : [email protected]